The power of personalization: un confronto sperimentale sulle previsioni del dataset MovieLens
Ampola, Ilaria (A.A. 2020/2021) The power of personalization: un confronto sperimentale sulle previsioni del dataset MovieLens. Tesi di Laurea in Machine learning & object driven marketing, Luiss Guido Carli, relatore Luigi Laura, pp. 139. [Master's Degree Thesis]
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Abstract/Index
Introduzione al machine learning. Overview. Caratteristiche. Utilizzo del machine learning per obiettivi aziendali. Recommendation system. Content-based filtering. Collaborative filtering. Sistemi ibridi di raccomandazione. Caso Netflix. MovieLens: confronto sperimentale tra librerie Python. Literature review. Linguaggio Python: overview. Librerie Python per recommender system. Il dataset MovieLens: origini e caratteristiche. Il dataset MovieLens: implicazioni manageriali. Confronto sperimentale: metodologia. Confronto sperimentale: discussione generale. Limitazioni e ricerca futura.
References
Bibliografia: pp. 107-112. Sitografia: pp. 113-117.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
| Chair: | Machine learning & object driven marketing |
| Thesis Supervisor: | Laura, Luigi |
| Thesis Co-Supervisor: | Querini, Marco |
| Academic Year: | 2020/2021 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 10 Dec 2021 12:08 |
| Last Modified: | 10 Dec 2021 12:08 |
| URI: | https://tesi.luiss.it/id/eprint/30910 |
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